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stackoverflow_tagger_bert – AI Model by eugeneskchan | AlphaNeural AI
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eugeneskchan
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stackoverflow_tagger_bert
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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stackoverflow_tagger_bert
This model is a fine-tuned version of
bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0980
Accuracy: 0.9687
F1: 0.7598
Precision: 0.8938
Recall: 0.6608
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 3
eval_batch_size: 3
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.1032
1.0
11667
0.0980
0.9687
0.7598
0.8938
0.6608
Framework versions
Transformers 4.50.0.dev0
Pytorch 2.2.2
Datasets 3.2.0
Tokenizers 0.21.0
